Visual imaging system and method

Details Visual imaging system and method Visual imaging system and method

1995-09-12

1998-06-16

Mancuso, Joseph

Image analysis

Pattern recognition

Template matching

382159, G06K 962

Patent

active

057684219

ABSTRACT:
An object recognition apparatus and method for real-time training and recognition/inspection of test objects. To train the system, digital features of an object are captured as sub-frames extracted from a data stream. The data is thresholded and digitized and used to produce an address representing the digital feature. The address is used to write a value into a memory. During recognition or inspection, extracting digital features from a test object, converting the digital features extracted from the test object into addresses, and using the addresses developed from the test object to address the memory to correlate whether the same memory locations are addressed determines whether the test object matches the reference object.

REFERENCES:
patent: 4014000 (1977-03-01), Uno et al.
patent: 4504970 (1985-03-01), Werth et al.
patent: 4506382 (1985-03-01), Hada et al.
patent: 4541115 (1985-09-01), Werth
patent: 5018216 (1991-05-01), Kojima
patent: 5111411 (1992-05-01), Browne
patent: 5619589 (1997-04-01), Otsu
Johnson, et al., "Implementation of a Variable Cluster Self Organising Algorithm for High Speed Unsupervised Pattern Classification," SPIE, vol. 1197, Automated Inspection & High-Speed Vision Architectures III, pp. 109-116, 1989.
Archimedes Time Saver, pp. 2-6, Fall 1991.
Ostman, C., "Smart Object Recognition," Midnight Engineering, vol. 5, No. 4, pp. 11, 12, 14, and 17, Jul./Aug. 1994.

Affiliated with

Also associated with

Rating

Visual imaging system and method does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Visual imaging system and method, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Visual imaging system and method will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFUS-PAI-O-1735946